Embeddings Courses and Certifications

Vector Embeddings Tutorial – Create an AI Assistant with GPT-4 & Natural Language Processing

2 ratings

Create an AI assistant using vector embeddings, GPT-4, and NLP. Learn about text embeddings, their applications, and practical implementation with OpenAI, databases, and Langchain.

• freeCodeCamp
• Self-Paced
• Free Video

LangChain Chat with Your Data

672 ratings at Coursera

Learn to build a chatbot using LangChain, focusing on RAG, document handling, vector stores, and advanced retrieval techniques for interacting with your own data sources.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Vector Search and Embeddings

Explore Vertex AI Vector Search and text embeddings to build advanced search applications with large language models, including hands-on demos and practical implementation.

• Google Skills
• 4 hours
• Self-Paced
• Paid Course

AI Automation: Build LLM Apps & AI-Agents with n8n & APIs

8543 ratings at Udemy

Automate Everything: n8n, LLMs, OpenAI API, Claude, Ollama, MCP & RAG! Business & Private Agents; More than just ChatGPT

• Udemy
• 14 hours 27 minutes
• Self-Paced
• Paid Course

Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.

• Coursera
• 22 hours
• Self-Paced
• Paid Course

LangChain Mastery: Build GenAI Apps with LangChain &Pinecone

4667 ratings at Udemy

Step-by-Step Approach to LangChain and Pinecone for GenAI with LLMs. Develop Real-World LLM-Powered Apps with Python

• Udemy
• 10 hours 44 minutes
• Self-Paced
• Paid Course

Basic to Advanced: Retreival-Augmented Generation (RAG)

3968 ratings at Udemy

Multi-modal RAG Stack: A Hands-on Journey Through Vector Stores, LLM Integration, and Advanced Retrieval Methods

• Udemy
• 2 hours 39 minutes
• Self-Paced
• Paid Course

Code with Ania Kubów

Vector Embeddings for Beginners - OpenAI

Learn to create and utilize vector embeddings for AI applications, including text analysis, database integration, and building an AI assistant using OpenAI and Langchain.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Project: Generative AI Applications with RAG and LangChain

238 ratings at Coursera

Develop a generative AI application using RAG and LangChain, including document loading, text splitting, embedding, retrieval, and QA bot creation with a Gradio interface.

• Coursera
• 9 hours 6 minutes
• Self-Paced
• Paid Course

Ultimate AWS Certified Generative AI Developer Professional

2505 ratings at Udemy

Hands-on GenAI development on AWS with Bedrock, SageMaker, and Flows - includes a complete 75-question practice exam.

• Udemy
• 1 day 10 minutes
• Self-Paced
• Paid Course

Vector Databases Fundamentals [NEW]

2234 ratings at Udemy

Unlock the Potential of Your Data with Pinecone, Chroma, and Beyond for AI-based Applications. Master Vector Databases

• Udemy
• 4 hours 26 minutes
• Self-Paced
• Paid Course

Build RAG Applications: Get Started

141 ratings at Coursera

Dive into Retrieval-Augmented Generation (RAG) fundamentals and build practical applications using Python, Gradio, LangChain, and LlamaIndex to create context-aware AI solutions that enhance information retrieval.

• Coursera
• 6 hours 42 minutes
• Self-Paced
• Paid Course

Vector Databases for RAG: An Introduction

83 ratings at Coursera

Master vector databases and ChromaDB for building recommendation systems and RAG applications through hands-on labs with real-world datasets and similarity search techniques.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Coursera

Building RAG Systems with Open Models

1 rating

Discover how to build production-ready RAG systems using open models, embeddings, vector databases, and advanced retrieval methods for real-world applications.

• Coursera
• 11 hours 11 minutes
• Self-Paced
• Paid Course

Board Infinity Credential

Mastering DeepSeek.ai: From Fundamentals to Advanced Skills

58 ratings at Coursera

Master DeepSeek.ai to build, integrate, and deploy AI-powered applications and intelligent agents through hands-on projects with automation tools and advanced techniques.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses